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How Content Creators Craft Algorithmic Personas and Perceive the Algorithm that Dictates their Work

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How Content Creators Craft Algorithmic Personas and Perceive the Algorithm that Dictates their Work ( how-content-creators-craft-algorithmic-personas-and-perceive )

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BIBLIOGRAPHY 36 [22] Stuart Cunningham, David Craig, and Jon Silver. “YouTube, multichannel networks and the accelerated evolution of the new screen ecology”. In: Convergence 22.4 (2016), pp. 376–391. [23] Delete Logan Paul’s YouTube Channel. Website. Last accessed 11 May 2019. url: https://www.change.org/p/youtube-delete-logan-paul-s-youtube-channel. [24] Michael A DeVito et al. “How People Form Folk Theories of Social Media Feeds and What It Means for How We Study Self-Presentation”. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM. 2018, p. 120. [25] Richard Y. Wong et al. When BCIs have APIs: Design Fictions of Everyday Brain- Computer Interface Adoption. Last accessed 7 December 2018. 2016. url: https:// www.researchgate.net/publication/325701418_When_BCIs_have_APIs_Design_ Fictions_of_Everyday_Brain-Computer_Interface_Adoption. [26] Motahhare Eslami et al. “I always assumed that I wasn’t really that close to [her]: Reasoning about Invisible Algorithms in News Feeds”. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems. ACM. 2015, pp. 153– 162. [27] Derral Eves. How Does the YouTube Algorithm Work in 2018 (Full Presentation). Youtube. 2018. url: https://www.youtube.com/watch?v=U-bEGKR-gls. [28] Chris Foxx. YouTube stars’ fury over algorithm tests. Website. url: https : / / www . bbc.com/news/technology-44279189. [29] Megan French and Jeff Hancock. “What’s the folk theory? Reasoning about cyber- social systems”. In: (2017). [30] Jacob Gardner and Kevin Lehnert. “What’s new about new media? How multi-channel networks work with content creators”. In: Business Horizons 59.3 (2016), pp. 293–302. issn: 0007-6813. doi: https://doi.org/10.1016/j.bushor.2016.01.009. url: http://www.sciencedirect.com/science/article/pii/S0007681316000100. [31] Matt Gielen. Reverse Engineering The YouTube Algorithm: Part II. Website. Feb. 2017. url: https://www.tubefilter.com/2017/02/16/youtube-algorithm-reverse- engineering-part-ii/. [32] Songjie Gong. “A collaborative filtering recommendation algorithm based on user clus- tering and item clustering.” In: JSW 5.7 (2010), pp. 745–752. [33] Hugh Gusterson. “Studying up revisited”. In: PoLAR: Political and Legal Anthropology Review 20.1 (1997), pp. 114–119. [34] Saba Hamady. “YouTube just hit a huge milestone”. In: (2017). url: https : / / mashable.com/2017/02/27/youtube-one-billion-hours-of-video-daily/ #hA58Y7SPBSq9. [35] Mattias Holmbom. The YouTuber: A Qualitative Study of Popular Content Creators. Last accessed 7 March 2019. 2015.

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